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AI-powered technical interview preparation platform with real-time voice conversations, live code execution sandbox, and comprehensive feedback. Built with LangGraph, LiveKit, FastAPI, and Next.js to simulate realistic interview scenarios with resume-tailored questions.
This project allows you to run a lightweight, isolated Windows virtual machine using QEMU inside a Docker container, with VNC remote desktop access. It is useful for testing, sandboxing, or serving GUI-based environments remotely.
Plexir is a modular, keyboard-centric AI terminal workspace that combines multi-provider LLM orchestration, persistent Docker sandboxing, and advanced agentic tools into a professional TUI. Designed for developers who live in the CLI, it offers a resilient and secure environment for coding, information gathering, and system automation.
An enterprise AI DevSecOps platform featuring a Dual-Mode LangGraph core, deterministic RAG, and secure Docker sandboxing. Accessible via a Next.js dashboard, VS Code extension, Hacker CLI, and an autonomous GitHub PR bot.
An automated evaluation framework for assessing the credibility of LLM-generated Python code using structural analysis, semantic validation and containerized execution metrics.
A collection of Docker experiments and learning projects, featuring Dockerfiles, container configurations, and setups for exploring Docker concepts in real-world applications.